Biochemical and molecular characterization of the glycosomal PTS2 import receptor peroxin 7 in «Leishmania donovani»
Bibliographic record
Abstract
The Leishmania peroxin 7 (LmPEX7 or LdPEX7) is the receptor that translocates PTS2 signal-containing proteins into the glycosome. This microbody is unique to and crucial for the survival of trypanosomatids which include Leishmania and Trypanosoma, the causative agents of leishmaniasis and African sleeping sickness, respectively. Proteins are imported into the glycosome via two pathways, PTS1 and PTS2, which involves the formation of a PTS-receptor complex in the cytosol, docking of the complex on a translocation apparatus on the glycosomal membrane, and subsequent release of the cargo protein into the lumen. However, the precise steps in glycosome protein trafficking are not well-defined and to understand the function of these organelles and prove their potential as chemotherapeutic targets, the mechanism of glycosome biogenesis needs to be fully elucidated. Not much is known about the mechanism of PTS2 import pathway in glycosomes as studies on PEX7 have been hampered by the difficulty in expressing a soluble recombinant form of this receptor. To dissect the PTS2 import pathway and to determine the role of PEX7 in Leishmania, this protein was cloned and characterized. LmPEX7 is a ~41 kDa protein containing six conserved WD40 motifs that displays limited sequence similarity to PEX7 homologues involved in the biogenesis of evolutionarily-related peroxisomes found in other eukaryotes. LmPEX7 interacts with PTS2 proteins, the PTS1 receptor LdPEX5, and the membrane-associated docking protein LdPEX14. These interactions, characterized through various biochemical techniques, were mediated by specific binding domains, formation of stable protein-protein complexes, and conform
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".